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Suppose IQ scores were obtained from randomly selected twins. For 20 such pairs of people, the linear correlation coefficient is 0.897 and the equation of the regression line isy= 1.58 + 1x, where x represents the IQ score of the twin born first. Also, the 20 x values have a mean of 100.96 and the 20 y values have a mean of 99.86. What is the best predicted IQ of the twin born second, given that the twin born first has an IQ of 108? Use a significance level of 0.05.
The best predicted IQ of the twin born first is
Identify the population and the sample: A survey of 787 small-business managers found that 72% are optimistic about the future of their company.
Sample mean = $40,000, sample standard deviation =$1500 and n= 25. Assume that the population from which the sample is drawn is normally distributed.
In an exam, the mean score is 70 and the variance is 16. What is the probability that a student's score will lie within the "54 to 86" range?
discuss why the f-test and not the t-test is used in conducting the global test of coefficient in a multiple regression
Do you think that all random samples taken from the same population will lead to the same result?
Please show all steps to simplifying the rational expression.
The standard deviation of the population of completion times is minutes, what is the minimum sample size needed for the managers to be confident that their estimate is within minutes of?
we want to estimate the mean population. a random sample of subjects is selected and the sample mean is computed. what
What is the probability that the airline will not have enough seats for all the ticket holders who show for the flight? (Use 3 decimal places)
During nine days in a festival, the highest sale of a shop was on sunday and was 900„5 more than the average sale for other days. If the standard deviation of the sale during the festival is 33.33, find the standard deviation leaving that the highes..
Ten people agree to take part in an experiment designed to determine whether a persons weight differs between morning & evening.
What terms describe the fit of a regression equation to the data? What is the practical use of the regression equation in the real world? Explain with some examples.
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